Software Engineer Build Support Engineering

Imagine empowering hundreds of developers across Apple Service Engineering to build ship and hotfix their services faster more reliably and with far less Apple we dont just build products we craft experiences that redefine entire ecosystems. The Build Support Engineering (BSE) team sits underneath that work owning the build deployment and hotfix infrastructure that Apples Commerce and platform engineering teams depend on to get code into production every day. Join us to develop the next-generation of Apples cloud services a Software Engineer on the Build Support Engineering team youll play a key role in modernizing large-scale build and deployment systems - untangling years of legacy tooling standardizing on a single containerized build-and-deploy path and building agentic AI systems that triage incidents debug failures and support developers autonomously. This is about designing robust scalable systems that let hundreds of developers build test and release services efficiently while continuously simplifying the platform underneath seeking engineers with a strong foundation in backend development who are also excited about applying AI - including agentic tool-using systems - in practical impactful ways. If youre energized by challenges that span distributed systems build and deployment tooling container orchestration and autonomous intelligent agents and ready to work on systems used by engineering teams across Apple wed love to hear from us and help craft the future of build and deployment at Apple.

The Build Support Engineering team is looking for a talented Software Engineer to help evolve the core build deployment and hotfix systems that Apples developers depend on every day. Youll join a team responsible for migrating a large legacy codebase into modern multi-repo workflows standardizing containerized build artifacts and scaling the tooling that powers service delivery - with opportunities to enhance these systems using AI-driven tools and role blends proven engineering practices with forward-looking approaches in agentic AI intelligent automation and platform simplification. Youll collaborate closely with project managers partner platform teams and SREs to translate clear requirements into production systems that are performant resilient and continually improving.

Design build and optimize scalable backend services and APIs in Java and Python that power build deployment and hotfix workflows for engineering teams across with project managers and partner teams to gather requirements and translate them into technical solutions that improve developer legacy build-and-deploy pipelines consolidating multiple build artifact types onto a single standardized containerized image deployed identically across and maintain multi-repo developer tooling - build hotfix request and auto-merge systems - that enable hundreds of developers to build test and deploy services AI-driven and agentic tools into on-call triage debugging and developer support to automate workflows surface intelligent insights and reduce operational and build agentic AI systems - tool-using multi-step agents and skills that autonomously triage pages investigate build and deployment failures and assist developers and and maintain containerized services using Kubernetes for reliable deployment and platform architectures for reliability maintainability and performance at scale while adding unit and integration test coverage and addressing security clean maintainable and well-tested code that upholds Apples high standard of engineering in code reviews architectural discussions and production troubleshooting sharing knowledge and elevating quality across the to CI/CD pipelines and infrastructure automation to enable rapid safe deployments and hotfixes.

2 years of industry experience building backend programming skills in Java and -on experience with Kubernetes for container orchestration and with utilizing and developing AI-driven and agentic tools to improve workflows and of algorithms data structures and distributed systems with databases (relational and/or NoSQL) and scalable service communication skills and a collaborative MS or PhD in Computer Science/Engineering

Experience with build systems and CI/CD tooling and modernizing legacy build-and-deploy with containerization and standardized image-based deployment with AI/ML frameworks (e.g. PyTorch TensorFlow) and LLM libraries (e.g. LangChain Hugging Face) or building AI-assisted developer and on-call building agentic AI systems - LLM agents tool/function calling orchestration frameworks or agent SDKs (e.g. Claude MCP LangGraph).nExperience with large-scale codebase migrations and multi-repo with messaging systems (e.g. Kafka) and microservices for developer experience and empathy for building tools that empower other engineers.